text: // Copyright 2019 Google LLC
  //
  // This source code is licensed under the BSD-style license found in the
  // LICENSE file in the root directory of this source tree.
  
  #include <gtest/gtest.h>
  
  #include <xnnpack/params.h>
  
  #include "prelu-operator-tester.h"
  
  
  TEST(PRELU_NC_F32, unit_batch) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(1)
        .channels(channels)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, unit_batch_with_qmin) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(1)
        .channels(channels)
        .qmin(128)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, unit_batch_with_qmax) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(1)
        .channels(channels)
        .qmax(128)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, small_batch) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(xnn_params.f32.prelu.row_tile)
        .channels(channels)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, small_batch_with_x_stride) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(xnn_params.f32.prelu.row_tile)
        .channels(channels)
        .x_stride(123)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, small_batch_with_y_stride) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(xnn_params.f32.prelu.row_tile)
        .channels(channels)
        .y_stride(117)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, small_batch_with_x_stride_and_y_stride) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(xnn_params.f32.prelu.row_tile)
        .channels(channels)
        .x_stride(123)
        .y_stride(117)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, small_batch_with_qmin) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(xnn_params.f32.prelu.row_tile)
        .channels(channels)
        .qmin(128)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, small_batch_with_qmax) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(xnn_params.f32.prelu.row_tile)
        .channels(channels)
        .qmax(128)
        .iterations(3)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, large_batch) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
        .channels(channels)
        .iterations(1)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, large_batch_with_x_stride) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
        .channels(channels)
        .x_stride(123)
        .iterations(1)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, large_batch_with_y_stride) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
        .channels(channels)
        .y_stride(117)
        .iterations(1)
        .TestF32();
    }
  }
  
  TEST(PRELU_NC_F32, large_batch_with_x_stride_and_y_stride) {
    for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
      PReLUOperatorTester()
        .batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
        .channels(channels)
        .x_stride(123)
        .y_stride(117)
        .iterations(1)
        .TestF32();
    }
  }
  